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Privacy Preserving

Papers

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Showing 2301–2350 of 2975 papers

TitleStatusHype
Code Integrity Attestation for PLCs using Black Box Neural Network Predictions—0
Privacy-Preserving Machine Learning with Fully Homomorphic Encryption for Deep Neural Network—0
Understanding the Interplay between Privacy and Robustness in Federated Learning—0
Towards a Privacy-preserving Deep Learning-based Network Intrusion Detection in Data Distribution Services—0
Federated Learning with Buffered Asynchronous Aggregation—0
FedDICE: A ransomware spread detection in a distributed integrated clinical environment using federated learning and SDN based mitigation—0
FedNILM: Applying Federated Learning to NILM Applications at the Edge—0
Information Theoretic Evaluation of Privacy-Leakage, Interpretability, and Transferability for Trustworthy AI—0
An Attribute-Aligned Strategy for Learning Speech Representation—0
Tetrad: Actively Secure 4PC for Secure Training and Inference—0
Privacy-Preserving Training of Tree Ensembles over Continuous Data—0
Adam in Private: Secure and Fast Training of Deep Neural Networks with Adaptive Moment Estimation—0
Temporally coherent video anonymization through GAN inpainting—0
Multilingual Medical Question Answering and Information Retrieval for Rural Health Intelligence Access—0
Federated Neural Collaborative Filtering—0
A Privacy-Preserving and Trustable Multi-agent Learning Framework—0
Communication-Efficient Split Learning Based on Analog Communication and Over the Air Aggregation—0
Personalizing Pre-trained Models—0
Private Text Classification with Convolutional Neural Networks—0
An Investigation towards Differentially Private Sequence Tagging in a Federated Framework—0
Private Release of Text Embedding Vectors—0
Privacy Regularization: Joint Privacy-Utility Optimization in LanguageModels—0
Building blocks of a task-oriented dialogue system in the healthcare domain—0
Unifying Distillation with Personalization in Federated Learning—0
HEMET: A Homomorphic-Encryption-Friendly Privacy-Preserving Mobile Neural Network Architecture—0
De-identification of Privacy-related Entities in Job PostingsCode0
PAL: Intelligence Augmentation using Egocentric Visual Context Detection—0
Fed-EINI: An Efficient and Interpretable Inference Framework for Decision Tree Ensembles in Federated Learning—0
A Lightweight Privacy-Preserving Scheme Using Label-based Pixel Block Mixing for Image Classification in Deep LearningCode0
A Privacy-Preserving Approach to Extraction of Personal Information through Automatic Annotation and Federated LearningCode0
Private Facial Diagnosis as an Edge Service for Parkinson's DBS Treatment Valuation—0
Privacy-Preserving Graph Convolutional Networks for Text Classification—0
Decision Making with Differential Privacy under a Fairness Lens—0
Privacy-Preserving Constrained Domain Generalization via Gradient Alignment—0
Privacy-preserving Logistic Regression with Secret SharingCode0
The FeatureCloud AI Store for Federated Learning in Biomedicine and BeyondCode0
FedGL: Federated Graph Learning Framework with Global Self-Supervision—0
Security Protection in Cooperative Control of Multi-agent Systems—0
Federated Face Recognition—0
Byzantine-Robust and Privacy-Preserving Framework for FedML—0
Federated Multi-View Learning for Private Medical Data Integration and Analysis—0
AirMixML: Over-the-Air Data Mixup for Inherently Privacy-Preserving Edge Machine Learning—0
Privacy-Preserving Co-synthesis Against Sensor-Actuator Eavesdropping Intruder—0
Privacy-Preserving Federated Learning on Partitioned Attributes—0
Confined Gradient Descent: Privacy-preserving Optimization for Federated Learning—0
A Graph Federated Architecture with Privacy Preserving Learning—0
Safe Fakes: Evaluating Face Anonymizers for Face Detectors—0
On a Utilitarian Approach to Privacy Preserving Text Generation—0
Protecting gender and identity with disentangled speech representations—0
Evaluating the Immediate Applicability of Pose Estimation for Sign Language Recognition—0
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